Clinical Data Enablement Manager

Veramed

. Support end-to-end clinical data pipelines across data lake and data warehouse environments .

Posted 11/4/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining clinical data pipelines, ensuring data integrity and compliance with GxP standards. Proficient in cloud-based data ingestion and transformation processes, with strong capabilities in data visualization and collaboration across teams.

Highest-signal resume keywords

Data EngineeringETL/ELT WorkflowsAWS/Azure ProficiencyPython ProgrammingGxP Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModellingData Quality ChecksPythonData VisualizationsCSV IntegrationsJSON IntegrationsXML IntegrationsGitHub Version ControlAgile/SDLC Concepts

Soft Skills

CollaborationCommunicationOrganizational SkillsDetail OrientedProactive

Tools & Technologies

AWSAzurePower BITableauQlikViewSnowflakeDatabricksSpark

Certifications & Qualifications

AWS CertificationAzure CertificationPython Certification

Industry Keywords

Clinical Data ProgrammingSDTMCDISCData GovernanceAudit Readiness

Tech Stack

Tools & technologies

AWSAzureCloudETLNoSQLPythonSDLCSnowflakeSparkSQLTableau

About the role

Key responsibilities & impact

Support end-to-end clinical data pipelines across data lake and data warehouse environments
Build, enhance, monitor, maintain, and troubleshoot ETL/ELT workflows and data integrations
Develop and support cloud-based data ingestion and transformation processes in AWS and/or Azure
Perform monitoring, alert management, incident investigation, and root cause analysis
Implement automation for scheduling, data ingestion, quality checks, and operational efficiency
Design and maintain dashboards and visualizations for pipeline performance, data quality, and operational metrics
Collaborate with internal teams, vendors, and stakeholders on data transfers, validations, reconciliations, and issue resolution
Partner with Statistical Programming, SDTM, Clinical Data Programming, and Analytics teams on data requirements
Support KPI reporting and on-time, high-quality data delivery
Maintain controlled documentation, testing evidence, and traceability for regulated clinical processes
Apply data integrity principles and support GxP compliance, audit readiness, security, access controls, and data governance standards

Requirements

What you’ll need

BS/BA (or equivalent) plus 5+ years in data engineering, pipeline development/operations, and multi-source data integration
Foundational SQL skills
Understanding of basic data modelling and data quality checks
Familiarity with integration patterns; NoSQL exposure is a plus
Proficiency in Python (preferred) or R
Experience building or supporting pipelines with basic testing, logging, and monitoring
Familiarity with Agile/SDLC concepts
Hands-on experience designing and supporting operational dashboards and data visualizations using Power BI, Tableau, and/or QlikView
Awareness of CDISC/CDASH/SDTM concepts (preferred)
Hands-on experience with CSV, JSON, XML, and file/API-based integrations
Exposure to AWS and/or Azure and modern data platforms such as Snowflake, Databricks, and Spark (preferred)
Working knowledge of GitHub/GitLab version control
Experience or exposure to GxP-regulated practices and data integrity expectations (preferred)
Strong collaboration and communication skills; organised, detail oriented, proactive, able to prioritise tasks and deliver to deadlines
Prior regulatory inspection/audit support experience is preferred
AWS/Azure and/or Python certification is preferred

Benefits

Comp & perks

Equal opportunities employer
Inclusive and diverse working environment
AI-assisted recruitment process with employee-made assessments and hiring decisions